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English(EN) Prime Intellect has released prime-rl 0.6.0, an open framework for training trillion-parameter Mixture-of-Experts models on agentic reinforcement learning workl

Prime Intellect 发布用于训练万亿参数 MoE 模型的开放框架

Prime Intellect 推出了 prime-rl 0.6.0,一个用于使用 agentic 强化学习训练大型专家混合 (MoE) 模型的开放框架。该新系统成功在软件工程任务上训练了 GLM-5 模型,仅使用 28 个 H200 GPU 实现了 131k 的序列长度。 AI

影响 能够更有效地训练大规模 AI 模型,可能加速 agentic 强化学习领域的研究。

排序理由 发布用于训练大型 AI 模型的开源框架。 [lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Prime Intellect 发布用于训练万亿参数 MoE 模型的开放框架

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发布用于训练大型 AI 模型的开源框架。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Prime Intellect发布prime-rl 0.6.0,一个用于在agentic强化学习工作中训练万亿参数Mixture-of-Experts模型的开放框架

    Prime Intellect has released prime-rl 0.6.0, an open framework for training trillion-parameter Mixture-of-Experts models on agentic reinforcement learning workloads. The system trained GLM-5 on software engineering tasks at 131k sequence length using just 28 H200 GPUs. https://ww…